Pandas Profiling Report

Dataset statistics

Number of variables	27
Number of observations	8.897
Missing cells	0
Missing cells (%)	0.0%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	1.8 MiB
Average record size in memory	216.0 B

Variable types

Numeric	20
Categorical	7

Alerts

`nation` has a high cardinality: 159 distinct values	High cardinality
`league` has a high cardinality: 71 distinct values	High cardinality
`team` has a high cardinality: 1049 distinct values	High cardinality
`red_card_continent` is highly correlated with `second_yellow_card_continent`	High correlation
`age` is highly correlated with `yellow_card_champ`	High correlation
`goals_selection` is highly correlated with `selections_nation`	High correlation
`selections_nation` is highly correlated with `goals_selection`	High correlation
`price` is highly correlated with `goal_champ` and 2 other fields	High correlation
`goal_champ` is highly correlated with `price` and 3 other fields	High correlation
`assist_champ` is highly correlated with `price` and 4 other fields	High correlation
`yellow_card_champ` is highly correlated with `age` and 4 other fields	High correlation
`second_yellow_card_champ` is highly correlated with `yellow_card_champ`	High correlation
`goal_cup` is highly correlated with `goal_champ` and 3 other fields	High correlation
`assist_cup` is highly correlated with `assist_champ` and 2 other fields	High correlation
`yellow_card_cup` is highly correlated with `goal_cup` and 1 other fields	High correlation
`goal_continent` is highly correlated with `assist_continent` and 1 other fields	High correlation
`assist_continent` is highly correlated with `goal_continent` and 1 other fields	High correlation
`yellow_card_continent` is highly correlated with `goal_continent` and 1 other fields	High correlation
`second_yellow_card_continent` is highly correlated with `red_card_continent`	High correlation
`red_card_continent` is highly correlated with `second_yellow_card_continent`	High correlation
`goals_selection` is highly correlated with `selections_nation` and 3 other fields	High correlation
`selections_nation` is highly correlated with `goals_selection`	High correlation
`goal_champ` is highly correlated with `goals_selection` and 4 other fields	High correlation
`assist_champ` is highly correlated with `goal_champ` and 4 other fields	High correlation
`yellow_card_champ` is highly correlated with `goal_champ` and 2 other fields	High correlation
`second_yellow_card_champ` is highly correlated with `yellow_card_champ`	High correlation
`goal_cup` is highly correlated with `goal_champ` and 1 other fields	High correlation
`assist_cup` is highly correlated with `assist_champ` and 2 other fields	High correlation
`yellow_card_cup` is highly correlated with `assist_cup`	High correlation
`goal_continent` is highly correlated with `goals_selection` and 4 other fields	High correlation
`assist_continent` is highly correlated with `goals_selection` and 3 other fields	High correlation
`yellow_card_continent` is highly correlated with `goal_continent` and 1 other fields	High correlation
`second_yellow_card_continent` is highly correlated with `red_card_continent`	High correlation
`red_card_continent` is highly correlated with `second_yellow_card_continent`	High correlation
`goals_selection` is highly correlated with `selections_nation`	High correlation
`selections_nation` is highly correlated with `goals_selection`	High correlation
`goal_champ` is highly correlated with `assist_champ` and 1 other fields	High correlation
`assist_champ` is highly correlated with `goal_champ` and 1 other fields	High correlation
`yellow_card_champ` is highly correlated with `goal_champ` and 1 other fields	High correlation
`goal_cup` is highly correlated with `assist_cup` and 1 other fields	High correlation
`assist_cup` is highly correlated with `goal_cup` and 1 other fields	High correlation
`yellow_card_cup` is highly correlated with `goal_cup` and 1 other fields	High correlation
`goal_continent` is highly correlated with `assist_continent` and 1 other fields	High correlation
`assist_continent` is highly correlated with `goal_continent` and 1 other fields	High correlation
`yellow_card_continent` is highly correlated with `goal_continent` and 1 other fields	High correlation
`second_yellow_card_continent` is highly correlated with `red_card_continent`	High correlation
`Unnamed: 0` is highly correlated with `league`	High correlation
`red_card_continent` is highly correlated with `selections_nation` and 1 other fields	High correlation
`age` is highly correlated with `selections_nation`	High correlation
`league` is highly correlated with `Unnamed: 0`	High correlation
`goals_selection` is highly correlated with `selections_nation` and 6 other fields	High correlation
`selections_nation` is highly correlated with `red_card_continent` and 5 other fields	High correlation
`price` is highly correlated with `goals_selection` and 2 other fields	High correlation
`goal_champ` is highly correlated with `goals_selection` and 4 other fields	High correlation
`assist_champ` is highly correlated with `goals_selection` and 7 other fields	High correlation
`yellow_card_champ` is highly correlated with `assist_champ` and 3 other fields	High correlation
`second_yellow_card_champ` is highly correlated with `yellow_card_champ` and 1 other fields	High correlation
`goal_cup` is highly correlated with `goals_selection` and 4 other fields	High correlation
`assist_cup` is highly correlated with `assist_champ` and 3 other fields	High correlation
`yellow_card_cup` is highly correlated with `yellow_card_champ` and 2 other fields	High correlation
`goal_continent` is highly correlated with `goals_selection` and 7 other fields	High correlation
`assist_continent` is highly correlated with `goals_selection` and 8 other fields	High correlation
`yellow_card_continent` is highly correlated with `assist_champ` and 5 other fields	High correlation
`second_yellow_card_continent` is highly correlated with `red_card_continent`	High correlation
`goal_continent` is highly skewed (γ1 = 21.52801949)	Skewed
`Unnamed: 0` has unique values	Unique
`red_card_continent` has 8415 (94.6%) zeros	Zeros
`goals_selection` has 7513 (84.4%) zeros	Zeros
`selections_nation` has 5052 (56.8%) zeros	Zeros
`goal_champ` has 3009 (33.8%) zeros	Zeros
`assist_champ` has 3280 (36.9%) zeros	Zeros
`own_goal_champ` has 8157 (91.7%) zeros	Zeros
`yellow_card_champ` has 1303 (14.6%) zeros	Zeros
`second_yellow_card_champ` has 6616 (74.4%) zeros	Zeros
`red_card_champ` has 6511 (73.2%) zeros	Zeros
`goal_cup` has 6443 (72.4%) zeros	Zeros
`assist_cup` has 6662 (74.9%) zeros	Zeros
`yellow_card_cup` has 6189 (69.6%) zeros	Zeros
`red_card_cup` has 7803 (87.7%) zeros	Zeros
`goal_continent` has 7581 (85.2%) zeros	Zeros
`assist_continent` has 7608 (85.5%) zeros	Zeros
`yellow_card_continent` has 7234 (81.3%) zeros	Zeros
`second_yellow_card_continent` has 8285 (93.1%) zeros	Zeros

Reproduction

Analysis started	2022-05-29 21:00:13.112120
Analysis finished	2022-05-29 21:01:31.490580
Duration	1 minute and 18.38 seconds
Software version	pandas-profiling v3.2.0
Download configuration	config.json

Unnamed: 0
Real number (ℝ_≥0)

HIGH CORRELATION
UNIQUE

Distinct	8897
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	6415.278746

Minimum	1
Maximum	12705
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	69.6 KiB

Quantile statistics

Minimum	1
5-th percentile	660.8
Q1	3220
median	6469
Q3	9617
95-th percentile	12083.4
Maximum	12705
Range	12704
Interquartile range (IQR)	6397

Descriptive statistics

Standard deviation	3672.186079
Coefficient of variation (CV)	0.5724125521
Kurtosis	-1.209563134
Mean	6415.278746
Median Absolute Deviation (MAD)	3195
Skewness	-0.02242182128
Sum	57076735
Variance	13484950.6
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1019	1	< 0.1%
1153	1	< 0.1%
2661	1	< 0.1%
8284	1	< 0.1%
9215	1	< 0.1%
4542	1	< 0.1%
10872	1	< 0.1%
10336	1	< 0.1%
4243	1	< 0.1%
1043	1	< 0.1%
Other values (8887)	8887	99.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	1	< 0.1%
3	1	< 0.1%
4	1	< 0.1%
5	1	< 0.1%
8	1	< 0.1%
11	1	< 0.1%
12	1	< 0.1%
15	1	< 0.1%
17	1	< 0.1%
18	1	< 0.1%

Value	Count	Frequency (%)
12705	1	< 0.1%
12704	1	< 0.1%
12703	1	< 0.1%
12702	1	< 0.1%
12701	1	< 0.1%
12699	1	< 0.1%
12698	1	< 0.1%
12697	1	< 0.1%
12696	1	< 0.1%
12695	1	< 0.1%

red_card_continent
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	32
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.2498595032

Minimum	0
Maximum	59
Zeros	8415
Zeros (%)	94.6%
Negative	0
Negative (%)	0.0%
Memory size	69.6 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	1
Maximum	59
Range	59
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	1.860633278
Coefficient of variation (CV)	7.446718074
Kurtosis	301.0397492
Mean	0.2498595032
Median Absolute Deviation (MAD)	0
Skewness	14.50689042
Sum	2223
Variance	3.461956197
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=32)

Value	Count	Frequency (%)
0	8415	94.6%
1	206	2.3%
2	67	0.8%
3	44	0.5%
4	29	0.3%
5	23	0.3%
7	17	0.2%
8	12	0.1%
6	10	0.1%
9	9	0.1%
Other values (22)	65	0.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	8415	94.6%
1	206	2.3%
2	67	0.8%
3	44	0.5%
4	29	0.3%
5	23	0.3%
6	10	0.1%
7	17	0.2%
8	12	0.1%
9	9	0.1%

Value	Count	Frequency (%)
59	1	< 0.1%
55	1	< 0.1%
39	1	< 0.1%
37	1	< 0.1%
34	1	< 0.1%
29	1	< 0.1%
27	2	< 0.1%
24	2	< 0.1%
23	3	< 0.1%
22	1	< 0.1%

age
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION

Distinct	29
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	26.0524896

Minimum	16
Maximum	46
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	69.6 KiB

Quantile statistics

Minimum	16
5-th percentile	19
Q1	23
median	26
Q3	29
95-th percentile	34
Maximum	46
Range	30
Interquartile range (IQR)	6

Descriptive statistics

Standard deviation	4.561708285
Coefficient of variation (CV)	0.1750968278
Kurtosis	-0.2249090852
Mean	26.0524896
Median Absolute Deviation (MAD)	3
Skewness	0.4142616571
Sum	231789
Variance	20.80918248
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=29)

Value	Count	Frequency (%)
25	748	8.4%
23	722	8.1%
24	697	7.8%
27	672	7.6%
26	669	7.5%
22	661	7.4%
28	620	7.0%
21	566	6.4%
29	556	6.2%
30	455	5.1%
Other values (19)	2531	28.4%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
16	10	0.1%
17	37	0.4%
18	160	1.8%
19	306	3.4%
20	442	5.0%
21	566	6.4%
22	661	7.4%
23	722	8.1%
24	697	7.8%
25	748	8.4%

Value	Count	Frequency (%)
46	3	< 0.1%
44	1	< 0.1%
42	3	< 0.1%
41	7	0.1%
40	8	0.1%
39	22	0.2%
38	36	0.4%
37	66	0.7%
36	97	1.1%
35	138	1.6%

nation
Categorical

HIGH CARDINALITY

Distinct	159
Distinct (%)	1.8%
Missing	0
Missing (%)	0.0%
Memory size	69.6 KiB

Brazil	612
Japan	575
Argentina	427
Iran	365
Mexico	242
Other values (154)	6676

Length

Max length	22
Median length	18
Mean length	7.263459593
Min length	4

Characters and Unicode

Total characters	64.623
Distinct characters	56
Distinct categories	6 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	30 ?
Unique (%)	0.3%

Sample

1st row	Tunisia
2nd row	CzechRepublic
3rd row	Canada
4th row	Belgium
5th row	Ukraine

Common Values

Value	Count	Frequency (%)
Brazil	612	6.9%
Japan	575	6.5%
Argentina	427	4.8%
Iran	365	4.1%
Mexico	242	2.7%
Colombia	240	2.7%
UnitedStates	210	2.4%
Egypt	210	2.4%
France	202	2.3%
Algeria	199	2.2%
Other values (149)	5615	63.1%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
brazil	612	6.9%
japan	575	6.5%
argentina	427	4.8%
iran	365	4.1%
mexico	242	2.7%
colombia	240	2.7%
unitedstates	210	2.4%
egypt	210	2.4%
france	202	2.3%
algeria	199	2.2%
Other values (149)	5615	63.1%

Most occurring characters

Value	Count	Frequency (%)
a	9429	14.6%
n	5469	8.5%
i	5405	8.4%
e	4994	7.7%
r	4718	7.3%
o	3055	4.7%
t	2949	4.6%
l	2785	4.3%
u	2029	3.1%
g	1815	2.8%
Other values (46)	21975	34.0%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	54392	84.2%
Uppercase Letter	10026	15.5%
Other Punctuation	167	0.3%
Decimal Number	36	0.1%
Open Punctuation	1	< 0.1%
Close Punctuation	1	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	9429	17.3%
n	5469	10.1%
i	5405	9.9%
e	4994	9.2%
r	4718	8.7%
o	3055	5.6%
t	2949	5.4%
l	2785	5.1%
u	2029	3.7%
g	1815	3.3%
Other values (17)	11744	21.6%

Uppercase Letter

Value	Count	Frequency (%)
S	1250	12.5%
A	1130	11.3%
C	933	9.3%
B	824	8.2%
I	807	8.0%
U	690	6.9%
J	586	5.8%
M	507	5.1%
R	418	4.2%
T	409	4.1%
Other values (14)	2472	24.7%

Other Punctuation

Value	Count	Frequency (%)
,	130	77.8%
'	37	22.2%

Decimal Number

Value	Count	Frequency (%)
0	36	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	1	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	64418	99.7%
Common	205	0.3%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	9429	14.6%
n	5469	8.5%
i	5405	8.4%
e	4994	7.8%
r	4718	7.3%
o	3055	4.7%
t	2949	4.6%
l	2785	4.3%
u	2029	3.1%
g	1815	2.8%
Other values (41)	21770	33.8%

Common

Value	Count	Frequency (%)
,	130	63.4%
'	37	18.0%
0	36	17.6%
(	1	0.5%
)	1	0.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	64622	> 99.9%
None	1	< 0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
a	9429	14.6%
n	5469	8.5%
i	5405	8.4%
e	4994	7.7%
r	4718	7.3%
o	3055	4.7%
t	2949	4.6%
l	2785	4.3%
u	2029	3.1%
g	1815	2.8%
Other values (45)	21974	34.0%

None

Value	Count	Frequency (%)
ä	1	100.0%

league
Categorical

HIGH CARDINALITY
HIGH CORRELATION

Distinct	71
Distinct (%)	0.8%
Missing	0
Missing (%)	0.0%
Memory size	69.6 KiB

PremierLeague	547
SuperLeague	388
J2League	387
PrimeraDivisión	373
Liga1	288
Other values (66)	6914

Length

Max length	32
Median length	19
Mean length	10.80229291
Min length	3

Characters and Unicode

Total characters	96.108
Distinct characters	58
Distinct categories	5 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	7 ?
Unique (%)	0.1%

Sample

1st row	Ligue1
2nd row	FortunaLiga
3rd row	SuperLiga
4th row	JupilerProLeague
5th row	PremierLiga

Common Values

Value	Count	Frequency (%)
PremierLeague	547	6.1%
SuperLeague	388	4.4%
J2League	387	4.3%
PrimeraDivisión	373	4.2%
Liga1	288	3.2%
Bundesliga	284	3.2%
PremierLiga	234	2.6%
ABSAPremiership	225	2.5%
MLS	219	2.5%
J1League	219	2.5%
Other values (61)	5733	64.4%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
premierleague	547	6.1%
superleague	388	4.4%
j2league	387	4.3%
primeradivisión	373	4.2%
liga1	288	3.2%
bundesliga	284	3.2%
superliga	270	3.0%
premierliga	234	2.6%
absapremiership	225	2.5%
mls	219	2.5%
Other values (60)	5682	63.9%

Most occurring characters

Value	Count	Frequency (%)
e	13751	14.3%
a	9694	10.1%
i	9025	9.4%
r	7841	8.2%
g	6502	6.8%
u	6289	6.5%
L	6173	6.4%
s	3467	3.6%
P	3033	3.2%
n	2906	3.0%
Other values (48)	27427	28.5%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	73777	76.8%
Uppercase Letter	20355	21.2%
Decimal Number	1659	1.7%
Other Punctuation	316	0.3%
Other Letter	1	< 0.1%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
L	6173	30.3%
P	3033	14.9%
S	2425	11.9%
A	1643	8.1%
B	892	4.4%
J	754	3.7%
C	595	2.9%
D	594	2.9%
M	540	2.7%
N	522	2.6%
Other values (16)	3184	15.6%

Lowercase Letter

Value	Count	Frequency (%)
e	13751	18.6%
a	9694	13.1%
i	9025	12.2%
r	7841	10.6%
g	6502	8.8%
u	6289	8.5%
s	3467	4.7%
n	2906	3.9%
l	2772	3.8%
o	2407	3.3%
Other values (15)	9123	12.4%

Decimal Number

Value	Count	Frequency (%)
1	1087	65.5%
2	457	27.5%
0	115	6.9%

Other Punctuation

Value	Count	Frequency (%)
.	216	68.4%
'	98	31.0%
/	2	0.6%

Other Letter

Value	Count	Frequency (%)
ª	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	94133	97.9%
Common	1975	2.1%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	13751	14.6%
a	9694	10.3%
i	9025	9.6%
r	7841	8.3%
g	6502	6.9%
u	6289	6.7%
L	6173	6.6%
s	3467	3.7%
P	3033	3.2%
n	2906	3.1%
Other values (42)	25452	27.0%

Common

Value	Count	Frequency (%)
1	1087	55.0%
2	457	23.1%
.	216	10.9%
0	115	5.8%
'	98	5.0%
/	2	0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	95012	98.9%
None	1096	1.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	13751	14.5%
a	9694	10.2%
i	9025	9.5%
r	7841	8.3%
g	6502	6.8%
u	6289	6.6%
L	6173	6.5%
s	3467	3.6%
P	3033	3.2%
n	2906	3.1%
Other values (43)	26331	27.7%

None

Value	Count	Frequency (%)
ó	373	34.0%
é	342	31.2%
Á	195	17.8%
ü	185	16.9%
ª	1	0.1%

team
Categorical

HIGH CARDINALITY

Distinct	1049
Distinct (%)	11.8%
Missing	0
Missing (%)	0.0%
Memory size	69.6 KiB

TokushimaVort.	30
TochigiSC	28
KashiwaReysol	27
Nacional	26
TavuaFC	25
Other values (1044)	8761

Length

Max length	24
Median length	14
Mean length	9.781948972
Min length	3

Characters and Unicode

Total characters	87.030
Distinct characters	83
Distinct categories	8 ?
Distinct scripts	2 ?
Distinct blocks	3 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	33 ?
Unique (%)	0.4%

Sample

1st row	OGCNice
2nd row	1.FKPribram
3rd row	RedStar
4th row	ClubBrugge
5th row	Chornomorets

Common Values

Value	Count	Frequency (%)
TokushimaVort.	30	0.3%
TochigiSC	28	0.3%
KashiwaReysol	27	0.3%
Nacional	26	0.3%
TavuaFC	25	0.3%
AlbirexNiigata	25	0.3%
KagoshimaUtd.	25	0.3%
FajrSepasi	23	0.3%
Petrojet	23	0.3%
V0V.Nagasaki	22	0.2%
Other values (1039)	8643	97.1%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
tokushimavort	30	0.3%
tochigisc	28	0.3%
kashiwareysol	27	0.3%
nacional	26	0.3%
tavuafc	25	0.3%
albirexniigata	25	0.3%
kagoshimautd	25	0.3%
petrojet	23	0.3%
fajrsepasi	23	0.3%
v0v.nagasaki	22	0.2%
Other values (1039)	8643	97.1%

Most occurring characters

Value	Count	Frequency (%)
a	9979	11.5%
e	5980	6.9%
i	5422	6.2%
o	5165	5.9%
n	5029	5.8%
r	4949	5.7%
l	3658	4.2%
s	3503	4.0%
t	3430	3.9%
C	2816	3.2%
Other values (73)	37099	42.6%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	65220	74.9%
Uppercase Letter	20254	23.3%
Other Punctuation	997	1.1%
Decimal Number	482	0.6%
Close Punctuation	25	< 0.1%
Open Punctuation	25	< 0.1%
Control	17	< 0.1%
Final Punctuation	10	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	9979	15.3%
e	5980	9.2%
i	5422	8.3%
o	5165	7.9%
n	5029	7.7%
r	4949	7.6%
l	3658	5.6%
s	3503	5.4%
t	3430	5.3%
u	2313	3.5%
Other values (30)	15792	24.2%

Uppercase Letter

Value	Count	Frequency (%)
C	2816	13.9%
S	2163	10.7%
F	1850	9.1%
A	1805	8.9%
B	1049	5.2%
M	980	4.8%
P	944	4.7%
K	783	3.9%
R	729	3.6%
G	708	3.5%
Other values (19)	6427	31.7%

Decimal Number

Value	Count	Frequency (%)
0	332	68.9%
1	64	13.3%
9	28	5.8%
5	19	3.9%
2	18	3.7%
6	12	2.5%
4	9	1.9%

Other Punctuation

Value	Count	Frequency (%)
.	944	94.7%
'	34	3.4%
&	19	1.9%

Close Punctuation

Value	Count	Frequency (%)
)	25	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	25	100.0%

Control

Value	Count	Frequency (%)
	17	100.0%

Final Punctuation

Value	Count	Frequency (%)
’	10	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	85474	98.2%
Common	1556	1.8%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	9979	11.7%
e	5980	7.0%
i	5422	6.3%
o	5165	6.0%
n	5029	5.9%
r	4949	5.8%
l	3658	4.3%
s	3503	4.1%
t	3430	4.0%
C	2816	3.3%
Other values (59)	35543	41.6%

Common

Value	Count	Frequency (%)
.	944	60.7%
0	332	21.3%
1	64	4.1%
'	34	2.2%
9	28	1.8%
)	25	1.6%
(	25	1.6%
&	19	1.2%
5	19	1.2%
2	18	1.2%
Other values (4)	48	3.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	86281	99.1%
None	739	0.8%
Punctuation	10	< 0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
a	9979	11.6%
e	5980	6.9%
i	5422	6.3%
o	5165	6.0%
n	5029	5.8%
r	4949	5.7%
l	3658	4.2%
s	3503	4.1%
t	3430	4.0%
C	2816	3.3%
Other values (55)	36350	42.1%

None

Value	Count	Frequency (%)
é	188	25.4%
ó	101	13.7%
á	96	13.0%
ö	52	7.0%
è	52	7.0%
ú	49	6.6%
ü	45	6.1%
í	41	5.5%
ï	29	3.9%
ã	21	2.8%
Other values (7)	65	8.8%

Punctuation

Value	Count	Frequency (%)
’	10	100.0%

goals_selection
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	37
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.5997527256

Minimum	0
Maximum	85
Zeros	7513
Zeros (%)	84.4%
Negative	0
Negative (%)	0.0%
Memory size	69.6 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	3
Maximum	85
Range	85
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	2.642641972
Coefficient of variation (CV)	4.406219195
Kurtosis	206.6966866
Mean	0.5997527256
Median Absolute Deviation (MAD)	0
Skewness	11.05196816
Sum	5336
Variance	6.983556594
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=37)

Value	Count	Frequency (%)
0	7513	84.4%
1	560	6.3%
2	252	2.8%
3	156	1.8%
4	122	1.4%
5	58	0.7%
6	42	0.5%
7	32	0.4%
9	21	0.2%
8	19	0.2%
Other values (27)	122	1.4%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	7513	84.4%
1	560	6.3%
2	252	2.8%
3	156	1.8%
4	122	1.4%
5	58	0.7%
6	42	0.5%
7	32	0.4%
8	19	0.2%
9	21	0.2%

Value	Count	Frequency (%)
85	1	< 0.1%
60	1	< 0.1%
50	1	< 0.1%
39	1	< 0.1%
38	1	< 0.1%
37	1	< 0.1%
36	1	< 0.1%
34	1	< 0.1%
31	2	< 0.1%
30	1	< 0.1%

selections_nation
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	126
Distinct (%)	1.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	5.787793638

Minimum	0
Maximum	176
Zeros	5052
Zeros (%)	56.8%
Negative	0
Negative (%)	0.0%
Memory size	69.6 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	4
95-th percentile	32
Maximum	176
Range	176
Interquartile range (IQR)	4

Descriptive statistics

Standard deviation	14.98991475
Coefficient of variation (CV)	2.589918662
Kurtosis	28.25345793
Mean	5.787793638
Median Absolute Deviation (MAD)	0
Skewness	4.687896966
Sum	51494
Variance	224.6975443
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	5052	56.8%
1	631	7.1%
2	457	5.1%
3	363	4.1%
4	237	2.7%
5	233	2.6%
6	168	1.9%
7	142	1.6%
9	130	1.5%
8	130	1.5%
Other values (116)	1354	15.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	5052	56.8%
1	631	7.1%
2	457	5.1%
3	363	4.1%
4	237	2.7%
5	233	2.6%
6	168	1.9%
7	142	1.6%
8	130	1.5%
9	130	1.5%

Value	Count	Frequency (%)
176	1	< 0.1%
167	1	< 0.1%
159	2	< 0.1%
154	1	< 0.1%
152	2	< 0.1%
147	2	< 0.1%
142	1	< 0.1%
136	1	< 0.1%
134	1	< 0.1%
133	2	< 0.1%

position
Categorical

Distinct	12
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	69.6 KiB

Goalkeeper	1701
CentralMidfield	1452
DefensiveMidfield	1381
AttackingMidfield	1101
RightWinger	917
Other values (7)	2345

Length

Max length	17
Median length	15
Mean length	13.01562324
Min length	7

Characters and Unicode

Total characters	115.800
Distinct characters	28
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Goalkeeper
2nd row	LeftWinger
3rd row	Goalkeeper
4th row	SecondStriker
5th row	LeftMidfield

Common Values

Value	Count	Frequency (%)
Goalkeeper	1701	19.1%
CentralMidfield	1452	16.3%
DefensiveMidfield	1381	15.5%
AttackingMidfield	1101	12.4%
RightWinger	917	10.3%
LeftWinger	889	10.0%
LeftMidfield	317	3.6%
Midfielder	316	3.6%
RightMidfield	303	3.4%
SecondStriker	188	2.1%
Other values (2)	332	3.7%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
goalkeeper	1701	19.1%
centralmidfield	1452	16.3%
defensivemidfield	1381	15.5%
attackingmidfield	1101	12.4%
rightwinger	917	10.3%
leftwinger	889	10.0%
leftmidfield	317	3.6%
midfielder	316	3.6%
rightmidfield	303	3.4%
secondstriker	188	2.1%
Other values (2)	332	3.7%

Most occurring characters

Value	Count	Frequency (%)
e	19776	17.1%
i	15436	13.3%
d	10260	8.9%
l	8023	6.9%
f	7625	6.6%
t	6268	5.4%
r	6147	5.3%
n	6096	5.3%
M	4870	4.2%
a	4418	3.8%
Other values (18)	26881	23.2%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	100355	86.7%
Uppercase Letter	15445	13.3%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	19776	19.7%
i	15436	15.4%
d	10260	10.2%
l	8023	8.0%
f	7625	7.6%
t	6268	6.2%
r	6147	6.1%
n	6096	6.1%
a	4418	4.4%
g	4127	4.1%
Other values (8)	12179	12.1%

Uppercase Letter

Value	Count	Frequency (%)
M	4870	31.5%
W	1806	11.7%
G	1701	11.0%
D	1549	10.0%
C	1452	9.4%
R	1220	7.9%
L	1206	7.8%
A	1101	7.1%
S	376	2.4%
F	164	1.1%

Most occurring scripts

Value	Count	Frequency (%)
Latin	115800	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	19776	17.1%
i	15436	13.3%
d	10260	8.9%
l	8023	6.9%
f	7625	6.6%
t	6268	5.4%
r	6147	5.3%
n	6096	5.3%
M	4870	4.2%
a	4418	3.8%
Other values (18)	26881	23.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	115800	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	19776	17.1%
i	15436	13.3%
d	10260	8.9%
l	8023	6.9%
f	7625	6.6%
t	6268	5.4%
r	6147	5.3%
n	6096	5.3%
M	4870	4.2%
a	4418	3.8%
Other values (18)	26881	23.2%

price
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION

Distinct	122
Distinct (%)	1.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1708305.047

Minimum	20000
Maximum	180000000
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	69.6 KiB

Quantile statistics

Minimum	20000
5-th percentile	25000
Q1	100000
median	300000
Q3	800000
95-th percentile	7000000
Maximum	180000000
Range	179980000
Interquartile range (IQR)	700000

Descriptive statistics

Standard deviation	6765265.327
Coefficient of variation (CV)	3.960220887
Kurtosis	177.9158546
Mean	1708305.047
Median Absolute Deviation (MAD)	225000
Skewness	11.03487257
Sum	1.519879 × 10¹⁰
Variance	4.576881494 × 10¹³
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
100000	689	7.7%
50000	658	7.4%
200000	537	6.0%
25000	520	5.8%
150000	514	5.8%
300000	485	5.5%
250000	448	5.0%
400000	424	4.8%
75000	398	4.5%
500000	375	4.2%
Other values (112)	3849	43.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
20000	2	< 0.1%
25000	520	5.8%
30000	1	< 0.1%
50000	658	7.4%
75000	398	4.5%
100000	689	7.7%
120000	1	< 0.1%
125000	203	2.3%
150000	514	5.8%
175000	128	1.4%

Value	Count	Frequency (%)
180000000	1	< 0.1%
150000000	2	< 0.1%
140000000	1	< 0.1%
100000000	3	< 0.1%
80000000	6	0.1%
75000000	3	< 0.1%
70000000	6	0.1%
65000000	7	0.1%
60000000	4	< 0.1%
50000000	8	0.1%

goal_champ
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	133
Distinct (%)	1.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	11.68967068

Minimum	0
Maximum	423
Zeros	3009
Zeros (%)	33.8%
Negative	0
Negative (%)	0.0%
Memory size	69.6 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	4
Q3	16
95-th percentile	49
Maximum	423
Range	423
Interquartile range (IQR)	16

Descriptive statistics

Standard deviation	18.8208499
Coefficient of variation (CV)	1.610041071
Kurtosis	36.14410883
Mean	11.68967068
Median Absolute Deviation (MAD)	4
Skewness	3.778256906
Sum	104003
Variance	354.2243908
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	3009	33.8%
1	551	6.2%
3	407	4.6%
2	377	4.2%
4	313	3.5%
5	251	2.8%
6	248	2.8%
7	229	2.6%
10	183	2.1%
8	179	2.0%
Other values (123)	3150	35.4%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	3009	33.8%
1	551	6.2%
2	377	4.2%
3	407	4.6%
4	313	3.5%
5	251	2.8%
6	248	2.8%
7	229	2.6%
8	179	2.0%
9	162	1.8%

Value	Count	Frequency (%)
423	1	< 0.1%
222	1	< 0.1%
190	1	< 0.1%
181	1	< 0.1%
160	1	< 0.1%
156	1	< 0.1%
152	1	< 0.1%
149	1	< 0.1%
139	1	< 0.1%
137	1	< 0.1%

assist_champ
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	111
Distinct (%)	1.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	9.137574463

Minimum	0
Maximum	174
Zeros	3280
Zeros (%)	36.9%
Negative	0
Negative (%)	0.0%
Memory size	69.6 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	3
Q3	12
95-th percentile	39
Maximum	174
Range	174
Interquartile range (IQR)	12

Descriptive statistics

Standard deviation	15.09760514
Coefficient of variation (CV)	1.652255223
Kurtosis	15.45068298
Mean	9.137574463
Median Absolute Deviation (MAD)	3
Skewness	3.155139646
Sum	81297
Variance	227.9376809
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	3280	36.9%
1	630	7.1%
2	465	5.2%
3	400	4.5%
5	306	3.4%
4	288	3.2%
6	262	2.9%
7	216	2.4%
8	207	2.3%
9	206	2.3%
Other values (101)	2637	29.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	3280	36.9%
1	630	7.1%
2	465	5.2%
3	400	4.5%
4	288	3.2%
5	306	3.4%
6	262	2.9%
7	216	2.4%
8	207	2.3%
9	206	2.3%

Value	Count	Frequency (%)
174	1	< 0.1%
160	1	< 0.1%
157	1	< 0.1%
154	2	< 0.1%
151	1	< 0.1%
147	1	< 0.1%
139	1	< 0.1%
124	2	< 0.1%
122	1	< 0.1%
118	1	< 0.1%

own_goal_champ
Real number (ℝ_≥0)

ZEROS

Distinct	6
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.0990221423

Minimum	0
Maximum	6
Zeros	8157
Zeros (%)	91.7%
Negative	0
Negative (%)	0.0%
Memory size	69.6 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	1
Maximum	6
Range	6
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	0.3613774937
Coefficient of variation (CV)	3.649461477
Kurtosis	34.56223224
Mean	0.0990221423
Median Absolute Deviation (MAD)	0
Skewness	4.815458941
Sum	881
Variance	0.130593693
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=6)

Value	Count	Frequency (%)
0	8157	91.7%
1	628	7.1%
2	91	1.0%
3	17	0.2%
4	2	< 0.1%
6	2	< 0.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	8157	91.7%
1	628	7.1%
2	91	1.0%
3	17	0.2%
4	2	< 0.1%
6	2	< 0.1%

Value	Count	Frequency (%)
6	2	< 0.1%
4	2	< 0.1%
3	17	0.2%
2	91	1.0%
1	628	7.1%
0	8157	91.7%

yellow_card_champ
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	115
Distinct (%)	1.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	14.80645161

Minimum	0
Maximum	142
Zeros	1303
Zeros (%)	14.6%
Negative	0
Negative (%)	0.0%
Memory size	69.6 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	2
median	9
Q3	21
95-th percentile	52
Maximum	142
Range	142
Interquartile range (IQR)	19

Descriptive statistics

Standard deviation	17.82819408
Coefficient of variation (CV)	1.204082825
Kurtosis	5.116193167
Mean	14.80645161
Median Absolute Deviation (MAD)	8
Skewness	2.02113267
Sum	131733
Variance	317.8445042
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	1303	14.6%
1	624	7.0%
2	519	5.8%
3	386	4.3%
4	366	4.1%
7	334	3.8%
5	329	3.7%
6	322	3.6%
8	262	2.9%
9	243	2.7%
Other values (105)	4209	47.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	1303	14.6%
1	624	7.0%
2	519	5.8%
3	386	4.3%
4	366	4.1%
5	329	3.7%
6	322	3.6%
7	334	3.8%
8	262	2.9%
9	243	2.7%

Value	Count	Frequency (%)
142	1	< 0.1%
141	1	< 0.1%
123	3	< 0.1%
122	1	< 0.1%
117	1	< 0.1%
115	1	< 0.1%
114	2	< 0.1%
111	1	< 0.1%
109	1	< 0.1%
108	2	< 0.1%

second_yellow_card_champ
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	10
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.4251995055

Minimum	0
Maximum	9
Zeros	6616
Zeros (%)	74.4%
Negative	0
Negative (%)	0.0%
Memory size	69.6 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	1
95-th percentile	2
Maximum	9
Range	9
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	0.9188321411
Coefficient of variation (CV)	2.160943579
Kurtosis	14.19919891
Mean	0.4251995055
Median Absolute Deviation (MAD)	0
Skewness	3.205350763
Sum	3783
Variance	0.8442525035
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
0	6616	74.4%
1	1424	16.0%
2	494	5.6%
3	211	2.4%
4	86	1.0%
5	32	0.4%
6	16	0.2%
7	9	0.1%
8	6	0.1%
9	3	< 0.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	6616	74.4%
1	1424	16.0%
2	494	5.6%
3	211	2.4%
4	86	1.0%
5	32	0.4%
6	16	0.2%
7	9	0.1%
8	6	0.1%
9	3	< 0.1%

Value	Count	Frequency (%)
9	3	< 0.1%
8	6	0.1%
7	9	0.1%
6	16	0.2%
5	32	0.4%
4	86	1.0%
3	211	2.4%
2	494	5.6%
1	1424	16.0%
0	6616	74.4%

red_card_champ
Real number (ℝ_≥0)

ZEROS

Distinct	9
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.4077779027

Minimum	0
Maximum	8
Zeros	6511
Zeros (%)	73.2%
Negative	0
Negative (%)	0.0%
Memory size	69.6 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	1
95-th percentile	2
Maximum	8
Range	8
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	0.8193768036
Coefficient of variation (CV)	2.009370293
Kurtosis	9.264258729
Mean	0.4077779027
Median Absolute Deviation (MAD)	0
Skewness	2.687325842
Sum	3628
Variance	0.6713783464
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=9)

Value	Count	Frequency (%)
0	6511	73.2%
1	1582	17.8%
2	530	6.0%
3	161	1.8%
4	74	0.8%
5	31	0.3%
6	5	0.1%
7	2	< 0.1%
8	1	< 0.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	6511	73.2%
1	1582	17.8%
2	530	6.0%
3	161	1.8%
4	74	0.8%
5	31	0.3%
6	5	0.1%
7	2	< 0.1%
8	1	< 0.1%

Value	Count	Frequency (%)
8	1	< 0.1%
7	2	< 0.1%
6	5	0.1%
5	31	0.3%
4	74	0.8%
3	161	1.8%
2	530	6.0%
1	1582	17.8%
0	6511	73.2%

goal_cup
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	27
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.8764752164

Minimum	0
Maximum	44
Zeros	6443
Zeros (%)	72.4%
Negative	0
Negative (%)	0.0%
Memory size	69.6 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	1
95-th percentile	5
Maximum	44
Range	44
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	2.217116983
Coefficient of variation (CV)	2.529583201
Kurtosis	40.94090027
Mean	0.8764752164
Median Absolute Deviation (MAD)	0
Skewness	4.922536757
Sum	7798
Variance	4.915607718
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=27)

Value	Count	Frequency (%)
0	6443	72.4%
1	930	10.5%
2	501	5.6%
3	308	3.5%
4	188	2.1%
5	151	1.7%
6	112	1.3%
7	65	0.7%
8	42	0.5%
9	33	0.4%
Other values (17)	124	1.4%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	6443	72.4%
1	930	10.5%
2	501	5.6%
3	308	3.5%
4	188	2.1%
5	151	1.7%
6	112	1.3%
7	65	0.7%
8	42	0.5%
9	33	0.4%

Value	Count	Frequency (%)
44	1	< 0.1%
29	1	< 0.1%
26	1	< 0.1%
25	1	< 0.1%
24	3	< 0.1%
21	3	< 0.1%
20	1	< 0.1%
19	5	0.1%
18	2	< 0.1%
17	2	< 0.1%

assist_cup
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	22
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.7146229066

Minimum	0
Maximum	23
Zeros	6662
Zeros (%)	74.9%
Negative	0
Negative (%)	0.0%
Memory size	69.6 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	1
95-th percentile	4
Maximum	23
Range	23
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	1.890684625
Coefficient of variation (CV)	2.645709516
Kurtosis	28.18207101
Mean	0.7146229066
Median Absolute Deviation (MAD)	0
Skewness	4.546469487
Sum	6358
Variance	3.57468835
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=22)

Value	Count	Frequency (%)
0	6662	74.9%
1	990	11.1%
2	442	5.0%
3	253	2.8%
4	161	1.8%
5	95	1.1%
6	80	0.9%
7	48	0.5%
9	45	0.5%
8	42	0.5%
Other values (12)	79	0.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	6662	74.9%
1	990	11.1%
2	442	5.0%
3	253	2.8%
4	161	1.8%
5	95	1.1%
6	80	0.9%
7	48	0.5%
8	42	0.5%
9	45	0.5%

Value	Count	Frequency (%)
23	2	< 0.1%
22	2	< 0.1%
20	2	< 0.1%
18	5	0.1%
17	1	< 0.1%
16	5	0.1%
15	4	< 0.1%
14	5	0.1%
13	9	0.1%
12	16	0.2%

own_goal_cup
Categorical

Distinct	4
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	69.6 KiB

0.0	8745
1.0	144
2.0	6
3.0	2

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	26.691
Distinct characters	5
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	8745	98.3%
1.0	144	1.6%
2.0	6	0.1%
3.0	2	< 0.1%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
0.0	8745	98.3%
1.0	144	1.6%
2.0	6	0.1%
3.0	2	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
0	17642	66.1%
.	8897	33.3%
1	144	0.5%
2	6	< 0.1%
3	2	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	17794	66.7%
Other Punctuation	8897	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	17642	99.1%
1	144	0.8%
2	6	< 0.1%
3	2	< 0.1%

Other Punctuation

Value	Count	Frequency (%)
.	8897	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	26691	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	17642	66.1%
.	8897	33.3%
1	144	0.5%
2	6	< 0.1%
3	2	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	26691	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	17642	66.1%
.	8897	33.3%
1	144	0.5%
2	6	< 0.1%
3	2	< 0.1%

yellow_card_cup
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	24
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.862762729

Minimum	0
Maximum	26
Zeros	6189
Zeros (%)	69.6%
Negative	0
Negative (%)	0.0%
Memory size	69.6 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	1
95-th percentile	5
Maximum	26
Range	26
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	1.99942194
Coefficient of variation (CV)	2.317464435
Kurtosis	23.98229657
Mean	0.862762729
Median Absolute Deviation (MAD)	0
Skewness	4.102047419
Sum	7676
Variance	3.997688095
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=24)

Value	Count	Frequency (%)
0	6189	69.6%
1	1121	12.6%
2	567	6.4%
3	366	4.1%
4	195	2.2%
5	122	1.4%
6	104	1.2%
7	63	0.7%
8	45	0.5%
9	31	0.3%
Other values (14)	94	1.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	6189	69.6%
1	1121	12.6%
2	567	6.4%
3	366	4.1%
4	195	2.2%
5	122	1.4%
6	104	1.2%
7	63	0.7%
8	45	0.5%
9	31	0.3%

Value	Count	Frequency (%)
26	1	< 0.1%
24	1	< 0.1%
23	1	< 0.1%
21	1	< 0.1%
19	3	< 0.1%
18	3	< 0.1%
17	1	< 0.1%
16	9	0.1%
15	4	< 0.1%
14	9	0.1%

second_yellow_card_cup
Categorical

Distinct	4
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	69.6 KiB

0.0	8646
1.0	239
2.0	9
3.0	3

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	26.691
Distinct characters	5
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	8646	97.2%
1.0	239	2.7%
2.0	9	0.1%
3.0	3	< 0.1%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
0.0	8646	97.2%
1.0	239	2.7%
2.0	9	0.1%
3.0	3	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
0	17543	65.7%
.	8897	33.3%
1	239	0.9%
2	9	< 0.1%
3	3	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	17794	66.7%
Other Punctuation	8897	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	17543	98.6%
1	239	1.3%
2	9	0.1%
3	3	< 0.1%

Other Punctuation

Value	Count	Frequency (%)
.	8897	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	26691	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	17543	65.7%
.	8897	33.3%
1	239	0.9%
2	9	< 0.1%
3	3	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	26691	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	17543	65.7%
.	8897	33.3%
1	239	0.9%
2	9	< 0.1%
3	3	< 0.1%

red_card_cup
Real number (ℝ_≥0)

ZEROS

Distinct	68
Distinct (%)	0.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1.362818928

Minimum	0
Maximum	107
Zeros	7803
Zeros (%)	87.7%
Negative	0
Negative (%)	0.0%
Memory size	69.6 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	9
Maximum	107
Range	107
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	5.947847577
Coefficient of variation (CV)	4.364371125
Kurtosis	68.99345014
Mean	1.362818928
Median Absolute Deviation (MAD)	0
Skewness	7.136114243
Sum	12125
Variance	35.37689079
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	7803	87.7%
1	245	2.8%
2	85	1.0%
3	77	0.9%
5	53	0.6%
4	52	0.6%
6	41	0.5%
8	41	0.5%
9	40	0.4%
7	37	0.4%
Other values (58)	423	4.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	7803	87.7%
1	245	2.8%
2	85	1.0%
3	77	0.9%
4	52	0.6%
5	53	0.6%
6	41	0.5%
7	37	0.4%
8	41	0.5%
9	40	0.4%

Value	Count	Frequency (%)
107	1	< 0.1%
102	1	< 0.1%
89	1	< 0.1%
80	1	< 0.1%
78	1	< 0.1%
77	1	< 0.1%
75	2	< 0.1%
70	1	< 0.1%
69	1	< 0.1%
65	1	< 0.1%

goal_continent
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
SKEWED
ZEROS

Distinct	30
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.4982578397

Minimum	0
Maximum	121
Zeros	7581
Zeros (%)	85.2%
Negative	0
Negative (%)	0.0%
Memory size	69.6 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	3
Maximum	121
Range	121
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	2.27232685
Coefficient of variation (CV)	4.560544097
Kurtosis	943.6799231
Mean	0.4982578397
Median Absolute Deviation (MAD)	0
Skewness	21.52801949
Sum	4433
Variance	5.163469312
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=30)

Value	Count	Frequency (%)
0	7581	85.2%
1	542	6.1%
2	240	2.7%
3	159	1.8%
4	101	1.1%
5	60	0.7%
6	54	0.6%
7	36	0.4%
8	24	0.3%
9	23	0.3%
Other values (20)	77	0.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	7581	85.2%
1	542	6.1%
2	240	2.7%
3	159	1.8%
4	101	1.1%
5	60	0.7%
6	54	0.6%
7	36	0.4%
8	24	0.3%
9	23	0.3%

Value	Count	Frequency (%)
121	1	< 0.1%
46	1	< 0.1%
42	1	< 0.1%
39	1	< 0.1%
26	1	< 0.1%
24	1	< 0.1%
23	1	< 0.1%
22	2	< 0.1%
21	1	< 0.1%
20	1	< 0.1%

assist_continent
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	29
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.4761155446

Minimum	0
Maximum	44
Zeros	7608
Zeros (%)	85.5%
Negative	0
Negative (%)	0.0%
Memory size	69.6 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	3
Maximum	44
Range	44
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	1.900254815
Coefficient of variation (CV)	3.991163147
Kurtosis	114.3346353
Mean	0.4761155446
Median Absolute Deviation (MAD)	0
Skewness	8.642728754
Sum	4236
Variance	3.610968363
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=29)

Value	Count	Frequency (%)
0	7608	85.5%
1	513	5.8%
2	261	2.9%
3	147	1.7%
4	109	1.2%
5	64	0.7%
6	52	0.6%
7	32	0.4%
8	22	0.2%
9	17	0.2%
Other values (19)	72	0.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	7608	85.5%
1	513	5.8%
2	261	2.9%
3	147	1.7%
4	109	1.2%
5	64	0.7%
6	52	0.6%
7	32	0.4%
8	22	0.2%
9	17	0.2%

Value	Count	Frequency (%)
44	1	< 0.1%
39	1	< 0.1%
34	1	< 0.1%
29	3	< 0.1%
28	1	< 0.1%
26	1	< 0.1%
23	2	< 0.1%
22	2	< 0.1%
21	2	< 0.1%
20	1	< 0.1%

own_goal_continent
Categorical

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	69.6 KiB

0.0	8830
1.0	61
2.0	6

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	26.691
Distinct characters	4
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	8830	99.2%
1.0	61	0.7%
2.0	6	0.1%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
0.0	8830	99.2%
1.0	61	0.7%
2.0	6	0.1%

Most occurring characters

Value	Count	Frequency (%)
0	17727	66.4%
.	8897	33.3%
1	61	0.2%
2	6	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	17794	66.7%
Other Punctuation	8897	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	17727	99.6%
1	61	0.3%
2	6	< 0.1%

Other Punctuation

Value	Count	Frequency (%)
.	8897	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	26691	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	17727	66.4%
.	8897	33.3%
1	61	0.2%
2	6	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	26691	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	17727	66.4%
.	8897	33.3%
1	61	0.2%
2	6	< 0.1%

yellow_card_continent
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	26
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.6123412386

Minimum	0
Maximum	28
Zeros	7234
Zeros (%)	81.3%
Negative	0
Negative (%)	0.0%
Memory size	69.6 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	4
Maximum	28
Range	28
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	1.915303199
Coefficient of variation (CV)	3.127836374
Kurtosis	40.44595474
Mean	0.6123412386
Median Absolute Deviation (MAD)	0
Skewness	5.395206448
Sum	5448
Variance	3.668386346
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=26)

Value	Count	Frequency (%)
0	7234	81.3%
1	592	6.7%
2	370	4.2%
3	217	2.4%
4	125	1.4%
5	87	1.0%
6	63	0.7%
7	50	0.6%
8	42	0.5%
9	28	0.3%
Other values (16)	89	1.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	7234	81.3%
1	592	6.7%
2	370	4.2%
3	217	2.4%
4	125	1.4%
5	87	1.0%
6	63	0.7%
7	50	0.6%
8	42	0.5%
9	28	0.3%

Value	Count	Frequency (%)
28	1	< 0.1%
25	2	< 0.1%
24	1	< 0.1%
23	2	< 0.1%
21	1	< 0.1%
20	4	< 0.1%
19	3	< 0.1%
18	1	< 0.1%
17	2	< 0.1%
16	3	< 0.1%

second_yellow_card_continent
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	72
Distinct (%)	0.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.9870742947

Minimum	0
Maximum	195
Zeros	8285
Zeros (%)	93.1%
Negative	0
Negative (%)	0.0%
Memory size	69.6 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	2
Maximum	195
Range	195
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	6.40880543
Coefficient of variation (CV)	6.492728526
Kurtosis	197.603344
Mean	0.9870742947
Median Absolute Deviation (MAD)	0
Skewness	11.62027397
Sum	8782
Variance	41.07278704
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	8285	93.1%
1	146	1.6%
2	44	0.5%
3	32	0.4%
6	31	0.3%
7	27	0.3%
5	24	0.3%
4	23	0.3%
8	20	0.2%
13	18	0.2%
Other values (62)	247	2.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	8285	93.1%
1	146	1.6%
2	44	0.5%
3	32	0.4%
4	23	0.3%
5	24	0.3%
6	31	0.3%
7	27	0.3%
8	20	0.2%
9	17	0.2%

Value	Count	Frequency (%)
195	1	< 0.1%
122	1	< 0.1%
120	1	< 0.1%
116	1	< 0.1%
105	1	< 0.1%
102	1	< 0.1%
99	1	< 0.1%
94	2	< 0.1%
86	1	< 0.1%
84	1	< 0.1%

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Count
Matrix

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

First rows

	Unnamed: 0	red_card_continent	age	nation	league	team	goals_selection	selections_nation	position	price	goal_champ	assist_champ	own_goal_champ	yellow_card_champ	second_yellow_card_champ	red_card_champ	goal_cup	assist_cup	yellow_card_cup	second_yellow_card_cup	red_card_cup	goal_continent	assist_continent	yellow_card_continent	second_yellow_card_continent
0	1019	0.0	23	Tunisia	Ligue1	OGCNice	0	4	Goalkeeper	1000000.0	0.0	0.0	0.0	5.0	0.0	1.0	0.0	0.0	0.0	0.0	12.0	0.0	0.0	0.0	0.0
1	1892	0.0	20	CzechRepublic	FortunaLiga	1.FKPribram	0	1	LeftWinger	100000.0	1.0	1.0	0.0	1.0	0.0	0.0	0.0	0.0	1.0	0.0	0.0	0.0	0.0	0.0	0.0
2	2548	7.0	31	Canada	SuperLiga	RedStar	0	40	Goalkeeper	3000000.0	0.0	0.0	1.0	31.0	1.0	0.0	0.0	0.0	0.0	0.0	23.0	0.0	0.0	0.0	25.0
3	3137	0.0	22	Belgium	JupilerProLeague	ClubBrugge	4	18	SecondStriker	4000000.0	33.0	22.0	0.0	18.0	0.0	0.0	0.0	3.0	2.0	0.0	0.0	0.0	1.0	2.0	0.0
4	2576	0.0	29	Ukraine	PremierLiga	Chornomorets	0	0	LeftMidfield	500000.0	20.0	19.0	0.0	34.0	3.0	1.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0
5	12125	0.0	25	Japan	J1League	MatsumotoYama.	0	0	LeftMidfield	200000.0	2.0	0.0	0.0	1.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0
6	3312	1.0	31	Chile	SüperLig	Besiktas	7	116	DefensiveMidfield	4500000.0	14.0	11.0	0.0	86.0	6.0	3.0	4.0	4.0	11.0	1.0	0.0	1.0	1.0	11.0	1.0
7	11233	0.0	32	Iran	PersianGulfProLeague	ParsJam	0	0	RightWinger	100000.0	16.0	7.0	0.0	15.0	0.0	1.0	0.0	1.0	1.0	0.0	1.0	0.0	0.0	0.0	0.0
8	9227	0.0	34	Argentina	PrimeraDivisión	BocaJuniors	13	76	SecondStriker	1000000.0	149.0	74.0	0.0	42.0	0.0	1.0	26.0	8.0	6.0	0.0	0.0	22.0	10.0	16.0	0.0
9	4792	0.0	21	Italy	SerieA	SSCNapoli	0	0	Goalkeeper	16000000.0	0.0	0.0	0.0	2.0	0.0	0.0	0.0	0.0	0.0	0.0	10.0	0.0	0.0	0.0	0.0

Last rows

	Unnamed: 0	age	nation	league	team	goals_selection	selections_nation	position	price	goal_champ	assist_champ	own_goal_champ	yellow_card_champ	second_yellow_card_champ	red_card_champ	goal_cup	assist_cup	yellow_card_cup	red_card_cup	goal_continent	assist_continent	yellow_card_continent
8887	8520	20	Canada	MLS	Vancouver	0	3	CentralMidfield	175000.0	1.0	3.0	0.0	11.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0
8888	11882	22	Myanmar	ThaiLeague	MuangthongUtd.	8	24	SecondStriker	350000.0	17.0	8.0	0.0	1.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0
8889	7155	25	Mexico	AscensoMXClausura	Celaya	0	0	Forward	700000.0	4.0	2.0	0.0	10.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0
8890	10043	25	Uzbekistan	Superliga	Pakhtakor	2	17	LeftWinger	1400000.0	10.0	1.0	0.0	8.0	0.0	0.0	0.0	0.0	0.0	0.0	2.0	3.0	0.0
8891	3706	29	Russia	PremierLiga	Krasnodar	0	1	RightMidfield	3500000.0	21.0	34.0	2.0	46.0	1.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	1.0
8892	3659	24	Russia	PremierLiga	ArsenalTula	0	0	Goalkeeper	125000.0	0.0	0.0	0.0	2.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0
8893	9063	24	Uruguay	PrimeraDivisión	Argentinos	0	0	AttackingMidfield	300000.0	12.0	10.0	0.0	11.0	2.0	1.0	2.0	1.0	3.0	0.0	0.0	0.0	0.0
8894	9163	29	Argentina	PrimeraDivisión	Defensa	0	11	Goalkeeper	800000.0	0.0	0.0	0.0	6.0	0.0	0.0	0.0	0.0	0.0	36.0	0.0	0.0	0.0
8895	2980	29	Argentina	SuperLeague	ApollonSmyrnis	1	2	AttackingMidfield	300000.0	19.0	29.0	0.0	20.0	2.0	0.0	0.0	1.0	1.0	0.0	0.0	1.0	0.0
8896	10368	30	China	LeagueOne	YBFunde	0	0	LeftMidfield	175000.0	15.0	5.0	0.0	7.0	1.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0

Overview

Variables

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Other Punctuation

Decimal Number

Open Punctuation

Close Punctuation

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

None

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Uppercase Letter

Lowercase Letter

Decimal Number

Other Punctuation

Other Letter

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

None

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Decimal Number

Other Punctuation

Close Punctuation

Open Punctuation

Control

Final Punctuation

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

None

Punctuation

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Most occurring scripts

Most frequent character per script

Latin

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Category Frequency Plot

Most occurring characters

Most occurring categories

Most frequent character per category